Here, we give a brief description of the available datasets in the area of relation extraction. We describe the datasets that are used in our experiments in detail in the individual chapters of this thesis. [1]} proposed a shared task on relation extraction in SemEval 2010 and released a dataset with 8,000 training sentences and 2,717 test instances across nine relations including None. The relations in this dataset are not taken from any knowledge base. They represent the relationship between two nominals in the sentences. Examples of such relations are Cause-Effect, Component-Whole, etc. ACE04 [2]}, CoNLL04 [3]}, and GDS [4]} are three other datasets with 7, 5, and 4 valid relations respectively. These datasets contain very few relations and few training samples which may not be suitable for building large-scale models.
